CrowdStrike announced Humio Community Edition designed to bring the power of Humio’s streaming observability to everyone.
Available immediately, the new offering enables users to ingest 16 GB of data per day and retain the data up to seven days – all while giving users ongoing access with no limited trial period.
Additionally, customers can ingest and use their Falcon Data Replicator (FDR) data within Humio Community Edition showing the power of CrowdStrike Falcon and Humio together. This allows customers to stream data at scale and in real-time, helping teams to prevent, recover from, and quickly understand the root cause of incidents.
“I want everyone to experience the power of Humio. With Humio Community Edition, Humio provides the most powerful capabilities needed for modern observability. Humio is able to ingest any data, structured or unstructured, in streaming speeds and at scale, unlike any other solution currently available in the market,” said George Kurtz, CEO and co-founder of CrowdStrike. “Humio’s log management platform is unmatched in speed, performance and storage abilities, and Humio Community Edition offers customers unprecedented access to best-in-class log management that you won’t see anywhere else – for absolutely free. Humio Community Edition is a game changer.”
Built for the cloud, Humio Community Edition streams structured and unstructured data, and provides users instant access to their data with index-free searching, real-time alerts and live dashboards. This gives DevOps, ITOps and SecOps teams the timely insights they need to enhance performance across distributed systems and explore threats and vulnerabilities to build resilience in their operations and IT infrastructure. Humio’s live observability improves the quality and reliability of systems in real-time and helps operations teams not only proactively prepare for the unknown but also recover quickly from incidents and understand the root cause. Users also gain access to Humio’s marketplace and packages that extend Humio’s functionality, as well as guides to develop and share new packages with the community.
Key benefits include:
- Ingestion and retention: Cloud users can ingest up to 16GB of structured and unstructured data per day and retain the logs for up to seven days – the first and only offering to provide this large of an ingestion, retention rate and ongoing usage with no trial period.
- Frictionless user experience: Humio Community Edition offers users ongoing access to Humio’s platform with no trial period or credit card requirements.
- Sample CrowdStrike Falcon Data Replicator (FDR) included: FDR sample data is included into the Humio Community Edition for users to try out. FDR can now also be ported into Humio to improve threat hunting capabilities and forensics at speed and at scale. Users can retain Falcon Data for longer, run live searches in real time, and achieve complete observability.
- Full introduction to Humio: Humio Community Edition provides access to Humio’s modern architecture and capabilities, including data streaming, index-free search and advanced compression technology, along with access to Humio’s marketplace and CrowdStrike FDR.
The Latest
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...